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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 1849
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    Explanations

    words related to speed, velocity, or progress

    oai_token-act-pair · gpt-3.5-turbo

    terms related to speed or tempo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arij
    -0.81
    reditary
    -0.80
    ndum
    -0.76
    luaj
    -0.74
    isman
    -0.73
    inatory
    -0.73
    rador
    -0.72
    oral
    -0.71
    ricanes
    -0.71
    inating
    -0.71
    POSITIVE LOGITS
     paced
    0.88
     pace
    0.88
    ometer
    0.82
     cooker
    0.78
    lli
    0.77
    llor
    0.75
    runner
    0.73
    llan
    0.73
     speeds
    0.71
     pacing
    0.71
    Activations Density 0.037%

    No Known Activations